NDLI: Fuzzy Optimization Model for Waste Load Allocation in a River with Total Maximum Daily Load (TMDL) Planning

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Fuzzy Optimization Model for Waste Load Allocation in a River with Total Maximum Daily Load (TMDL) Planning

Content Provider	MDPI
Author	Cho, Jae Heon Lee, Jong Ho
Copyright Year	2020
Description	In traditional waste load allocation (WLA) decision making, water quality-related constraints must be satisfied. Fuzzy models, however, can be useful for policy makers to make the most reasonable decisions in an ambiguous environment, considering various surrounding environments. We developed a fuzzy WLA model that optimizes the satisfaction level by using fuzzy membership functions and minimizes the water quality management cost for policy decision makers considering given environmental and socioeconomic conditions. The fuzzy optimization problem was formulated using a max–min operator. The fuzzy WLA model was applied to the Yeongsan River basin, which is located in the southwestern part of the Korean Peninsula and Korean TMDLs were applied. The results of the fuzzy model show that the pollutant load reduction should be increased in the Gwangju 1 and Gwangju 2 wastewater treatment plants (WWTPs) and in subcatchments with high pollutant load. In particular, it is necessary to perform advanced wastewater treatment to decrease the load of 932 kg ultimate biochemical oxygen demand (BODu)/day in the large-capacity Gwangju 1 WWTP and reduce the BODu emission concentration from 4.3 to 2.7 mg/L during the low-flow season. The satisfaction level of the fuzzy model is a relatively high at 0.81.
Starting Page	2618
e-ISSN	20734441
DOI	10.3390/w12092618
Journal	Water
Issue Number	9
Volume Number	12
Language	English
Publisher	MDPI
Publisher Date	2020-09-18
Access Restriction	Open
Subject Keyword	Water Water Science and Technology Fuzzy Wla Model Ambiguity Fuzzy Membership Function Satisfaction Level Pollution Load Reduction Water Quality Management
Content Type	Text
Resource Type	Article

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